Improved Gaussian Puff Model and Grey Wolf Optimization Algorithm for Gas Source Localization.
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| Title: | Improved Gaussian Puff Model and Grey Wolf Optimization Algorithm for Gas Source Localization. |
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| Authors: | Zeng, Xiangjin1, Feng, Song1,2, Zhou, Hengyu1,2 |
| Source: | Applied Sciences (2076-3417); Dec2025, Vol. 15 Issue 24, p12948, 20p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190531099 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improved Gaussian Puff Model and Grey Wolf Optimization Algorithm for Gas Source Localization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zeng%2C+Xiangjin%22">Zeng, Xiangjin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Feng%2C+Song%22">Feng, Song</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhou%2C+Hengyu%22">Zhou, Hengyu</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Dec2025, Vol. 15 Issue 24, p12948, 20p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190531099 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app152412948 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 12948 Titles: – TitleFull: Improved Gaussian Puff Model and Grey Wolf Optimization Algorithm for Gas Source Localization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zeng, Xiangjin – PersonEntity: Name: NameFull: Feng, Song – PersonEntity: Name: NameFull: Zhou, Hengyu IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 24 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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